irsae_logo nina_logo

Time, place, fee and registration

IRSAE members NINA and FEM offer a 3-days intense workshop on GIS in Applied Ecology from 24.09.2018 to 27.09.2018 at the cosy Studenterhytta in Oslo. With full board provided and no other distraction than beautiful nature around, participants can fully focus on learning new techniques, applying them to their ongoing projects and networking with the others.

Topic of the course will be Advanced Geospatial Analysis with an emphasis on handling of Earth Observation and Time Series data using Free and Open Source Software. Based on a set of 28 course units (see below), final content for the 3 days event will be tailored according to participants interest as well as prior knowledge and experience (it would take ~5 days to cover all course units).

The course is kindly supported by IRSAE. Thus, IRSAE students and staff will get a reduced course fee as well as priority access until 31.08.2018.

Course fees - that cover full board (3 nights at Studenterhytta with lunch to lunch food) - are

  • 3900 NOK (~ 410 €) for participants from IRSAE institutions
  • 4900 NOK (~ 515 €) for participants from non-IRSAE institution.

Please register here.

Participants are exected to bring their own device / laptop, so the course can have as much as possible take home effect. An OSGeo-Live USB medium will be handed out with all relevant software and sample data installed.

IRSAE cannot give ECTS directly. Following earlier praxis in IRSAE courses, participants will be provided with a certificate upon completion of the course, stating that the course is worth 1 ECTS credit (as 1 ECTS should roughly correspond to 20 to 25 hours of student’s time). It is then up to the University where the students are affiliated to validate the credits (or not).

For questions regarding registration and organisation please contact: Stefan Blumentrath

Free and Open Source Software (FOSS)

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Fig. 1 FOSS software overview (source).

Free and open-source software (FOSS) is a computer software that can be classified as both free software and open-source software. That is, anyone is freely licensed to

  • use,
  • copy,
  • study, and
  • change

the software in any way. The source code is openly shared so that people are encouraged to voluntarily improve the design of the software. This is in contrast to proprietary software, where the software is under restrictive copyright and the source code is usually hidden from the users. See :wikipedia-en:`Free and open-source software` article on Wikipedia for more information.

FOSS for Geospatial

In 2006 was founded OSGeo Foundation to support the collaborative development of open source geospatial software, and promote its widespread use.

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Fig. 2 OSGeo logo (source)

The foundation has adopted principles to ensure that projects under OSGeo umbrella will satisfy basic quality requirements, namely:

  • Projects should manage themselves, striving for consensus and encouraging participation from all contributors - from beginning users to advanced developers.
  • Contributors are the scarce resource and successful projects court and encourage them.
  • Projects are encouraged to adopt open standards and collaborate with other OSGeo projects.
  • Projects are responsible for reviewing and controlling their code bases to insure the integrity of the open source baselines.

This principles ensure that OSGeo projects are well established, stable, mature and sustainable.

Software

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  • GRASS GIS (recommended version 7.4) for geospatial raster, imagery, and vector data processing and providing spatial analysis.
  • QGIS desktop (recommended version 2.18) for geospatial visualization, creating hardcopy outputs, and data publishing.
  • GDAL library for reading and writing various geospatial data.
  • R statistical language for statistical analysis.
  • sentinelsat library utility to search and download Copernicus Sentinel satellite images.
  • pyModis Python based library to work with MODIS data.

Dataset

For purpose of this training materials a sample dataset has been created based on Open Data covering Studenterhytta venue region. See detailed description below.

  • administrative borders (directory: administrative, source: GeoNorge)
  • Digital Elevation Model (directory: dem, source: GeoNorge)
  • EU-DEM (directory: eu-dem, source: Copernicus Land Monitoring Service - EU-DEM)
  • Sentinel-2 sample bands (directory: sentinel/sample, source: Copernicus Open Access Hub)

Virtual machine

The simplest way how to follow this training. VirtualBox must be installed on your PC, enable also virtualization support in BIOS. See Virtualization Quickstart for details.

A customized virtual machine (VM) based on OSGeoLive is available at … This VM contains all software dependecies including sample dataset in geodata directory.

Units

Important

Teaser. Check out first few units online. Rest of units will be published online later.

  • Unit 14 - PyGRASS scripting
  • Unit 24 - Spatio-temporal scripting
  • Unit 25 - Spatio-temporal script tuning
  • Unit 26 - MODIS Spatio-temporal scripting
  • Unit 27 - Regression analysis
  • Unit 28 - Classification
  • Unit 29 - GRASS and R

Lecturers

  • Luca Delucchi, Fondazione Edmung Mach (FEM) in San Michele all’Adige, Italy
  • Martin Landa, GeoForAll Lab, Czech Technical University in Prague, Czech Republic

Materials proudly provided by GISMentors training and mentoring group.

License

Creative Commons Attribution-ShareAlike 4.0 International License.

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Source code available on GitHub. Feel free to open issues or pull requests to improve the materials :-)

Document version: 0.1 aplha (built Sep 19, 2018)